Lead Data Scientist

SGS Technologie; Saint Petersburg (FL); On-site; USD 100,000 - 130,000; Full time

Job summary

A data analytics firm based in Florida is seeking a Lead Data Scientist to enhance decision support systems using cutting-edge data analytics and machine learning techniques. The successful candidate will join a vibrant team and should possess strong knowledge in Machine Learning, particularly in GEN AI, alongside proven experience in deploying models in production environments. Minimum requirements include a Bachelor’s degree and six years of relevant professional experience. This hands-on role requires full project ownership delivering impactful solutions.

Qualifications

• Minimum of 6 years relevant experience or equivalent education and training.
• Proven ability to use Machine Learning techniques with an emphasis on GEN AI.
• Experience deploying models successfully in production.

Responsibilities

• Support development of advanced decision support systems.
• Carry projects from start to finish within the team.

Skills

Machine Learning techniques

Natural Language Processing (NLP)

Statistics and hypothesis testing

SQL

Unix scripting

Agile environment experience

Big data technology

Education

Bachelor’s degree

Job description

The Lead Data Scientist supports development of advanced decision support systems by employing advanced techniques from data analytics (including statistical analysis) and machine learning, particularly including NLP.

The successful candidate will join an innovative and energetic team that develops capabilities that improve the performance of our business units and make them more efficient. This is a hands‑on role in which the Data Scientist is expected to carry out a project from start to finish.

Experience & Skills Required:

• Minimum of a Bachelor’s degree and six (6) years of relevant experience or combination of education, training and experience.
• Strong knowledge of Machine Learning techniques, including NLP but the focus is more on the GEN AI side than ML side.
• Knowledge of statistics, including hypothesis testing
• Proficient in SQL
• Comfortable with Unix scripting
• Experience building models that actually delivered value to a business
• Experience deploying systems to a production environment
• Experience working in an Agile environment
• Working knowledge of “big data” technology